慢性阻塞性肺疾病患者经靶向肺去神经治疗后的计算机断层扫描气道形态

Computed tomographic airway morphology after targeted lung denervation treatment in COPD.

作者信息

Hartman Jorine E, Herth Felix J F, Shah Pallav, Pison Christophe, Valipour Arschang, Slebos Dirk-Jan

机构信息

Department of Pulmonary Diseases, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands; Groningen Research Institute for Asthma and COPD, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.

Department of Pneumology and Critical Care Medicine, Thoraxklinik and Translational Lung Research Center, University of Heidelberg, Germany.

出版信息

Respir Med. 2023 Jan;206:107059. doi: 10.1016/j.rmed.2022.107059. Epub 2022 Nov 26.

DOI:10.1016/j.rmed.2022.107059

PMID:36459953

Abstract

This post-hoc analysis of the AIRFLOW-2 trial investigated the changes in airway CT-parameters after targeted lung denervation (TLD) and whether these changes are associated with treatment response. In the treatment group (n = 32), an improvement in air trapping was significantly associated with an improvement in residual volume (RV). Furthermore, improvements in Pi10 and airway lumen were significantly associated with an improvement in both RV and FEV. Our results could suggest that when improving airway characteristics like decreasing airway wall thickness and increasing the airway lumen, this leads to less air trapping and an improvement in clinical outcomes.

摘要

这项针对AIRFLOW-2试验的事后分析研究了靶向肺去神经支配（TLD）后气道CT参数的变化，以及这些变化是否与治疗反应相关。在治疗组（n = 32）中，气体潴留的改善与残气量（RV）的改善显著相关。此外，Pi10和气道管腔的改善与RV和第一秒用力呼气容积（FEV）的改善均显著相关。我们的结果可能表明，当改善气道特征，如减小气道壁厚度和增加气道管腔时，这会减少气体潴留并改善临床结果。